Silvia Villa | DeepAI

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∙ 08/18/2023

Variance reduction techniques for stochastic proximal point algorithms

In the context of finite sums minimization, variance reduction technique...

0 Cheik Traoré, et al. ∙

∙ 04/17/2023

Snacks: a fast large-scale kernel SVM solver

Kernel methods provide a powerful framework for non parametric learning....

0 Sofiane Tanji, et al. ∙

∙ 06/10/2022

Stochastic Zeroth order Descent with Structured Directions

We introduce and analyze Structured Stochastic Zeroth order Descent (S-S...

0 Marco Rando, et al. ∙

∙ 02/01/2022

Iterative regularization for low complexity regularizers

Iterative regularization exploits the implicit bias of an optimization a...

0 Cesare Molinari, et al. ∙

∙ 01/14/2022

Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization

In this paper, we study the convergence properties of a randomized block...

0 Cheik Traoré, et al. ∙

∙ 06/16/2021

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization

Gaussian process optimization is a successful class of algorithms (e.g. ...

0 Marco Rando, et al. ∙

∙ 06/17/2020

Implicit regularization for convex regularizers

We study implicit regularization for over-parameterized linear models, w...

0 Cesare Molinari, et al. ∙

∙ 03/28/2017

Convergence of the Forward-Backward Algorithm: Beyond the Worst Case with the Help of Geometry

We provide a comprehensive study of the convergence of forward-backward ...

0 Guillaume Garrigos, et al. ∙

∙ 04/13/2015

Learning Multiple Visual Tasks while Discovering their Structure

Multi-task learning is a natural approach for computer vision applicatio...

0 Carlo Ciliberto, et al. ∙

∙ 04/30/2014

Learning with incremental iterative regularization

Within a statistical learning setting, we propose and study an iterative...

0 Lorenzo Rosasco, et al. ∙

∙ 03/24/2013

On Learnability, Complexity and Stability

We consider the fundamental question of learnability of a hypotheses cla...

0 Silvia Villa, et al. ∙

∙ 09/03/2012

Proximal methods for the latent group lasso penalty

We consider a regularized least squares problem, with regularization by ...

0 Silvia Villa, et al. ∙

∙ 08/13/2012

Nonparametric sparsity and regularization

In this work we are interested in the problems of supervised learning an...

0 Lorenzo Rosasco, et al. ∙

∙ 11/16/2010

PADDLE: Proximal Algorithm for Dual Dictionaries LEarning

Recently, considerable research efforts have been devoted to the design ...

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